HomeCompareAIApply vs LandEarly

Side-by-side · Rubric js-v1.0

AIApply vs LandEarly

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§ The result

LandEarly leads AIApply on 6 of the 7 criteria.

LandEarly finishes 19 points clear of AIApply inside the Auto-apply cohort under rubric js-v1.0: 62 (D) against 43 (F). LandEarly leads 6 of the 7 criteria and the remaining criterion is level, so AIApply is ahead on none of them; the closest of the 6 LandEarly leads is Data & Credential Safety, AIApply 55 to LandEarly 66. The widest raw gap and the heaviest weighted swing fall on different criteria: Pricing & Cancellation Fairness (AIApply 27, LandEarly 63) and Application Honesty at 20% (AIApply 42, LandEarly 68), the second being 26% of the weighted advantage LandEarly holds across the 6 criteria on that side of the table.

§ The record

AIApply and LandEarly are both filed under Auto-apply tools. They also share 1 secondary category: Resume AI.

RecordAIApplyLandEarly
Price tierMidMid
HeadquartersUSUS
Founded20232026

§ What decides it

The criteria that move the gap, heaviest swing first.

  1. 20% weight · 26% of the movement so far

    Application Honesty

    AIApply 42 · LandEarly 68

    5.2 weighted points to LandEarly

  2. 10% weight · 45% of the movement so far

    Pricing & Cancellation Fairness

    AIApply 27 · LandEarly 63

    3.6 weighted points to LandEarly

  3. 15% weight · 62% of the movement so far

    User Control & Transparency

    AIApply 50 · LandEarly 72

    3.3 weighted points to LandEarly

  4. 15% weight · 78% of the movement so far

    Employer & ATS Legitimacy

    AIApply 38 · LandEarly 60

    3.3 weighted points to LandEarly

  5. 20% weight · 90% of the movement so far

    Data & Credential Safety

    AIApply 55 · LandEarly 66

    2.2 weighted points to LandEarly

  6. 12% weight · 100% of the movement so far

    Effectiveness Evidence

    AIApply 33 · LandEarly 50

    2.0 weighted points to LandEarly

Weighted delta is the raw difference times the criterion weight, so the 6 figures above sum to -19.6 — the difference between the two totals before either is rounded. Shares are of 19.6 points of movement counted without direction. The table below rounds each side to a whole number first, so its Δ raw total reads -19 beside that -19.6.

§ Category-by-category

Raw score per criterion, with weighted delta.

Δ is AIApply minus LandEarly.

CategoryWeightAIApplyLandEarlyΔ rawΔ weighted
Application Honesty20%4268-26-5.2
Data & Credential Safety20%5566-11-2.2
User Control & Transparency15%5072-22-3.3
Employer & ATS Legitimacy15%3860-22-3.3
Effectiveness Evidence12%3350-17-2.0
Pricing & Cancellation Fairness10%2763-36-3.6
Support & Accountability8%4444--
Total100%43 (F)62 (D)-19-19.6

§ Evidence

Cited sources and documented absences, criterion by criterion.

An absence is a finding, not a blank: the reviewer looked for a named artefact and recorded that it is not located. Where a source sits is a fact about hosting only.

CriterionWeightAIApplyLandEarly
CitedAbsencesAudit / hostingCitedAbsencesAudit / hosting
Application Honesty20%30Sources on the vendor's own domain21Sources on the vendor's own domain
Data & Credential Safety20%21Sources on the vendor's own domain01
User Control & Transparency15%20Sources on the vendor's own domain20Sources on the vendor's own domain
Employer & ATS Legitimacy15%20Sources on the vendor's own domain21Sources on the vendor's own domain
Effectiveness Evidence12%20Sources on the vendor's own domain11
Pricing & Cancellation Fairness10%2021Sources on the vendor's own domain
Support & Accountability8%3011Sources on the vendor's own domain
All criteria100%161Sources on the vendor's own domain106Sources on the vendor's own domain

AIApply has 17 evidence rows across 7 of 7 criteria — 16 with a source URL, 1 documented absence; LandEarly has 16 evidence rows across 7 of 7 criteria — 10 with a source URL, 6 documented absences.

Provenance

The scores above are documented by 33 evidence rows on file for these two vendors: 17 for AIApply, across 6 distinct source domains, and 16 for LandEarly, across 1 distinct source domain.

Rubric
js-v1.0
AIApply last reviewed
July 17, 2026 · HireAIScore editorial team
LandEarly last reviewed
July 17, 2026 · HireAIScore editorial team

HireAIScore scores are editorial research, not legal advice, and no vendor pays for placement, scoring or removal — see the methodology, conflicts policy and terms.